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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Science (Personalization & Recommendation Systems) (Remote) - **Company:** Kohl’s, Inc. - **Location:** Menomonee Falls, WI, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Cloud Computing, Distributed Computing Environment, R (Programming Language), Python (Programming Language), Machine Learning, Recommender Systems, Search Technologies, SQL Databases, Google Cloud, Large Language Models, Apache Spark, Information Technology, Machine Learning Operations, Tools for Reporting, Programming Languages - **Published:** August 8, 2026 - **Apply:** https://careers.kohls.com/job/R475992 ## About the Role * Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products * Experience in developing sequential, transformer models and utilizing LLM models in production * Understanding of collaborative filtering and learning-to-rank methods * Experience optimizing models for GPU / distributed training * Familiarity with large-scale datasets and production ML systems * Exposure to real-time or low-latency serving environments * Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred * Experience with delivering end to end customized ML models in production environment Required * Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value * Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc. * Strong problem-solving skills with an emphasis on product development * Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results * Proven success guiding teams through unstructured technical problems * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field * 5+ years (or 2+ years with a Master's degree) of progressively complex data science experience * 2+ years of managerial or leadership experience in data science or analytics organizations Preferred * Master's degree and/or Ph.D. * Retail experience * Marketing models ## Description About the Role As Manager, Data Science, you will manage a data science team and work with cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning. What You'll Do * Attract, retain, develop, manage, coach and assess data scientists in a balanced team * Work with product, engineering and design leads and leverage data-driven insights to make decisions, set goals, prioritize work and achieve team objectives * Lead end-to-end data science projects from problem formulation to model deployment, ensuring high-quality deliverables that meet business needs * Oversee the design of experiments that answer targeted questions * Identify and drive continuous improvement of key business metrics within assigned team * Translate data science outputs into business outcomes and value delivered * Maintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes * Remain current on the latest trends and developments in data science and technology and identify areas that offer the greatest return on investment * Additional tasks may be assigned Addendum Personalization & Recommendation Systems Accountabilities * Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns) * Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue) * Develop multi-stage ranking approaches, including candidate generation and re-ranking * Address cold-start and long-tail challenges in large product catalogs * Partner with engineering to support real-time personalization and scalable deployment Skills & Experience * Experience with personalization & recommendation systems, search, or ranking problems at scale of millions of customers and products * Experience in developing sequential, transformer models and utilizing LLM models in production * Understanding of collaborative filtering and learning-to-rank methods * Experience optimizing models for GPU / distributed training * Familiarity with large-scale datasets and production ML systems * Exposure to real-time or low-latency serving environments * Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred * Experience with delivering end to end customized ML models in production environment Required * Expertise in developing and deploying state-of-the-art algorithms using machine learning and statistical and optimization methods to power various aspects of highly complex business models and deliver value * Expert in using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc. * Strong problem-solving skills with an emphasis on product development * Experience proposing rapid experiments to test the efficacy of new strategies or initiatives and iterating quickly based on results * Proven success guiding teams through unstructured technical problems * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or equivalent quantitative field * 5+ years (or 2+ years with a Master's degree) of progressively complex data science experience * 2+ years of managerial or leadership experience in data science or analytics organizations Preferred * Master's degree and/or Ph.D. * Retail experience * Marketing models ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)